Title :
Rich Dynamics in a Small Neural Network
Author :
Cao, Hai ; Li, Qingdu
Author_Institution :
Sichuan Univ. of Sci. & Eng., Zigong
Abstract :
This paper shows that rich dynamics can take place in a simple three dimensional continuous-time Hopfield neural network with its connection matrix satisfying Dale´s rule. In order to get a detailed picture of the complex dynamics, chaos and transient chaos are also studied by virtue of topological horseshoe theory.
Keywords :
Hopfield neural nets; chaos; 3D continuous-time Hopfield neural network; Dale rule; complex dynamics; connection matrix; rich dynamics; topological horseshoe theory; transient chaos; Artificial neural networks; Bifurcation; Biological neural networks; Chaos; Computer science; Hopfield neural networks; Neural networks; Neurons; Nonlinear systems; Telecommunications;
Conference_Titel :
Communications, Circuits and Systems, 2007. ICCCAS 2007. International Conference on
Conference_Location :
Kokura
Print_ISBN :
978-1-4244-1473-4
DOI :
10.1109/ICCCAS.2007.4348199
